Software Engineer II : Data Engineer
- Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
- Develops secure high-quality production code, and reviews and debugs code written by others
- Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
- Collaborate closely with cross-functional teams to develop efficient data pipelines to support various data-driven initiatives
- Implement best practices for data engineering, ensuring data quality, reliability, and performance
- Contribute to data modernization efforts by leveraging cloud solutions and optimizing data processing workflows
- Perform data extraction and implement complex data transformation logic to meet business requirements
- Leverage advanced analytical skills to improve data pipelines and ensure data delivery is consistent across projects
- Monitor and executes data quality checks to proactively identify and address anomalies
- Ensure data availability and accuracy for analytical purposes
- Identify opportunities for process automation within data engineering workflows
- Formal training or certification on software engineering concepts and 2+ years applied experience
- 3+ years of experience with ETL tools like Ab Initio, Informatica, Data Pipeline and workflow management tools (Airflow, etc.)
- 3+ years of strong hands on coding experience with PySpark, Python, Iceberg and AWS
- Advanced in one or more programming language(s) like SQL, Java etc
- Proficient in all aspects of the Software Development Life Cycle
- Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
- Experience working with modern Data Lakes : (Snowflake, Databricks etc.)
- Hands-on practical experience delivering system design, application development, testing, and operational stability
- Very strong problem solving skills
- Proficiency in automation and continuous delivery methods
- Willingness and ability to learn and pick up new skillsets
Preferred qualifications, capabilities, and skills
- Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning etc.)
- In-depth knowledge of the financial services industry and their IT systems
- Practical cloud native experience
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